"Emotions are getting out of him, it's all rational," said Mike Chen, portfolio manager at Boston's PanAgora. on the side of the Cayman Alternative Investment Summit in Great Cayman.

"We are not crazy scholars of wool," said Chen, whose quantitative investment firm manages assets worth about $ 43 billion. The use of investors is not new. Financial firms can simply use the power of artificial intelligence and machine learning, as modern computers can handle information much faster. And now there is much more data than it did years ago.

The rise of machine learning

Nevertheless, technology quickly destroys the financial industry ̵

1; and will continue to do so.

Increasing the level of machine learning will really make our industry unrecognizable in the future, "said Anthony Cowell, head of the KPMG Asset Management Department at Cayman Islands. Its clients include some of the world's largest asset managers, hedge funds and private companies.

For example, Citi Private Bank has deployed machine training to help financial advisers answer frequently asked questions: What do other investors do with their money? Using technology, the bank can anonymously divide portfolio transfers by clients across the globe.

"Traditionally, this information has been received from your network. You may have had some coffee or heard about it in a cocktail," said Philip Watson, Global Citi Investment Bank Leader and Citigroup Innovation Director, CNN Business . "Now we can share an understanding that is very valuable."

Citi also created a engine that uses machine learning tools to advise clients. The platform recommends special reports, decisions, and even warns clients about major events such as the maturity of their portfolios.

Machines help high-speed traders

Domeyard, hedge- The Boston Foundation, which focuses on high-frequency trading, depends on machine learning to decipher 300 million data points in the initial trading hours of the New York Stock Exchange.

"We rely on the help of machines to make it easier and quicker to predict what will happen in the next second or minute," said Christine Tsy, co-founder and partner of Domeyard.

But Qi warns that the machines "are just as smart as the data you are leaving. "

Earlier this year, PanAgora, the Boston Store, expanded its exposure to China by launching the" self-learning "algorithm that decrypts the Chinese" cyber jargon "used by investors in social media to circumvent censorship government, said Chen. The results are given Portfolio Managers at PanAgora are a valuable window in the mood for retail investors who dominate the Chinese market.

Man versus the machine?

Technology leaders caution not to believe in all the agios of artificial intelligence and machine learning – especially on the screening of robots.

"Some effects can be wildly exaggerated," said Watson. "This is the world of human machines. It is not only a machine model. I also do not see it becoming a car model for a long, long time. "

Mr. Agora agreed." This is not a man against a car. This is a man plus a car. "

In PanAgora, people have the latest say about investment decisions and sometimes overlap with what computer models tell them to do.

" Cars are not conscious. Terminators are not going to go up and kill us all in the next 10 years, "said Chen. "I hope."

Most jobs will be struck [19599009]

But this does not mean that people will not be disturbed.

"We believe that 100% of all roles and workplaces can affect," said Mark Foster, senior vice president IBM ( IBM )

Foster said that the most optimistic result is that enterprises, governments and educational systems are ahead of this disorder by retraining their employees.

"Probably the world moves more slowly than this. There is a risk that that people will be left behind, "Foster said." We have a business in our business that we can help our employees outstrip the curve. "

Instead of getting a direct move, Watson Citi believes that many workers , which make black jobs, can be moved to more advantageous positions. 1965900 4]

What's Next?

In the future, the financial sector will be further disturbed by the rise of new technologies such as quantum computing.

( IBM ) Google, Intel ( INTC ) and other large companies have spent it difficult to develop quantum technologies, but experts are not entirely sure what supercomputers will use.

"We do not really know yet," said Jackson, when asked about specific cases of use. "We are just beginning to understand the strength of this."

He said it's already clear that quantum computers will surpass in several areas: encryption, security, chemistry and machine learning.

"It will survive to a halt," said Jackson.

There are many more things a computer can not do in the financial sector.

For example, complex investors often use game theory to determine how other players in the market will respond to this situation. The game theory allows firms to make money by positioning themselves – before there are sharp market changes.